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Detect and Correct Abnormal Values in Uncertain Environment: Application to Demand Forecast

Villeneuve, Eric and Béler, Cédrick and Geneste, Laurent Detect and Correct Abnormal Values in Uncertain Environment: Application to Demand Forecast. (2014) In: Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World, 20 September 2014 - 24 September 2014 (Ajaccio, France).

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Official URL: http://dx.doi.org/10.1007/978-3-662-44739-0_9

Abstract

This article presents the first results of a study which deals with the detection and the correction of abnormal values in data series intended to forecast demand. This work fits in the broader context of performance management for proximity retailers. Indeed, when this kind of point of sales (POS) is studied, sales volumes are often too small to be effectively exploited by statistical processing methods. It is therefore useful to consolidate the information with expertise and additional knowledge resulting from similar POS. It is also relevant to take into account the inherent uncertainty of such information. The proposal of this paper is a methodological contribution which uses consolidated knowledge to detect and correct abnormal values and to improve the quality of data used to implement forecast methods.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World ISBN : 978-3-662-44738-3 ISBN Online 978-3-662-44739-0 Series Title : IFIP Advances in Information and Communication Technology - ISSN : 1868-4238 - vol. 438
Audience (conference):International conference proceedings
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Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
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Deposited By: Éric Villeneuve
Deposited On:09 Sep 2014 08:38

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